Modeling of Bicycling in the Copenhagen Greater Area Model for Passenger Transport Activity-Based Model for Copenhagen
This paper describes new advances in modeling bicycle travel in Copenhagen implemented in the COMPASS activity-based model system for the Greater Copenhagen Area. In addition to considering bicycle as a mode option, the mode choice model explicitly models bicycle access to and egress from public transport (PT), whether the cyclist parks at the PT station or carries the bicycle on board the PT vehicle. Mode choice is sensitive to bicycle generalized time from bicycle route choice via the expected utility (logsum) from an integrated bicycle route choice model. The bicycle route choice model includes explanatory variables such as travel time – split by free flow, congested and time spent on crossings – surroundings, and type and width of the cycle path. The route choice logsums then enter the demand model where the traveller and tour characteristics further inform the bicycle utility function. COMPASS includes modelling of electric bicycles. Also, car delays at intersections are a function of bicycle flows in the model.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee ACH20 Standing Committee on Bicycle Transportation.
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Corporate Authors:
Transportation Research Board
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Authors:
- Vuk, Goran
- Bradley, Mark
- Bowman, John
- Overgård, Christian
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Conference:
- Transportation Research Board 101st Annual Meeting
- Location: Washington DC, United States
- Date: 2022-1-9 to 2022-1-13
- Date: 2022
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 19p
Subject/Index Terms
- TRT Terms: Bicycle parking; Bicycling; Mode choice; Public transit; Travel demand
- Geographic Terms: Copenhagen (Denmark)
- Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists;
Filing Info
- Accession Number: 01863242
- Record Type: Publication
- Report/Paper Numbers: TRBAM-22-04413
- Files: TRIS, TRB, ATRI
- Created Date: Nov 2 2022 3:52PM